Bibliographic record
Abstract
Abstract This study examines the smuggling of Indian citizens to other countries and aims at gaining an insight into the modus operandi of the smugglers. It is based on an empirical study of deportation cases of Indian citizens from other countries. About three-quarters of the deportees who accessed the services of smugglers belonged to the State of Punjab. Almost 80 per cent of the deportees were young and in the age group of 18-30. About 28 per cent of the deportees succeeded in reaching their countries of destination with the help of smugglers. Thus, the success rate of illegal migration with the help of smugglers is higher by more than quarter than without them. Individual deportees had paid sums varying from US$ 2000 to US$ 10,000 to smugglers. No correlations have been observed between the countries of destination and the amounts paid to smugglers. The study has shown that smuggling of aliens is carried out by professional organizations with links in the countries of source, transition, and destination. The study concludes that so long as opportunities for legal migration are limited there will always be a demand for smugglers. In order to prevent and control smuggling an international co-operation among countries of source, transition, and destination would be imperative. It would also be desirable to widen the ambit of legal migration for low-skill jobs like in agriculture, construction works, and service sectors for limited periods through country-specific bilateral agreements.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".